Triple
T6230808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pantiles colonnade |
E139346
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | The Pantiles |
E26708
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Pantiles | Statement: [The Pantiles colonnade, partOf, The Pantiles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Pantiles Context triple: [The Pantiles colonnade, partOf, The Pantiles]
-
A.
The Pantiles
chosen
The Pantiles is a historic colonnaded promenade and shopping area in Royal Tunbridge Wells, famed for its Georgian architecture, boutiques, and cafés.
-
B.
The Tower
The Tower is the famous historic castle complex on the north bank of the River Thames in London, renowned for its role as a royal palace, prison, and fortress.
-
C.
The Tower
The Tower is a 1928 poetry collection by W.B. Yeats that reflects his mature style, blending Irish myth, personal reflection, and meditations on aging and artistic legacy.
-
D.
The Tower
The Tower is a film featuring Russian actress Svetlana Khodchenkova in a prominent role.
-
E.
The Kymin
The Kymin is a historic hilltop site near Monmouth in Wales, known for its picturesque views and Georgian-era naval monument and round house.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062ec5be4819084d6df2e8dd2a542 |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20de90ba08190be1e0c44b5b13f53 |
completed | March 24, 2026, 4:07 a.m. |
Created at: March 22, 2026, 4:22 p.m.